Cite
ML$^2$Tuner: Efficient Code Tuning via Multi-Level Machine Learning Models
MLA
Cha, JooHyoung, et al. ML$^2$Tuner: Efficient Code Tuning via Multi-Level Machine Learning Models. 2024. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsarx&AN=edsarx.2411.10764&authtype=sso&custid=ns315887.
APA
Cha, J., Lee, M., Kwon, J., Lee, J., Lee, J., & Kwon, Y. (2024). ML$^2$Tuner: Efficient Code Tuning via Multi-Level Machine Learning Models.
Chicago
Cha, JooHyoung, Munyoung Lee, Jinse Kwon, Jubin Lee, Jemin Lee, and Yongin Kwon. 2024. “ML$^2$Tuner: Efficient Code Tuning via Multi-Level Machine Learning Models.” http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsarx&AN=edsarx.2411.10764&authtype=sso&custid=ns315887.